About the Journal

Advances in Artificial Intelligence and Machine Learning (ISSN: 2582-9793) is a Web of Science (Impact Factor by Clarivate™ = 0.5),  Scopus  (CiteScore: 1.3) indexed, global, peer-reviewed open-access online journal, committed to the timely publication of original work in Artificial Intelligence and Machine Learning. In addition to original research, the journal encourages review papers, including mini-reviews focused on a very specific topic.

The mission of the Advances in Artificial Intelligence and Machine Learning is to provide a context for the study of Artificial Intelligence and Human Wellbeing, human cognition, artificial systems, autonomous machines, etc.

The Journal follows a single-blind peer review process and, from 2026 onwards, publishes six issues per year (February, April, June, August, October, December).

Advances in Artificial Intelligence and Machine Learning subscribe to the principles of the Committee on Publication Ethics (COPE) https://publicationethics.org/ to deal with acts of misconduct. Using these principles, we investigate allegations of misconduct and ensure the integrity of research. 

Journal Particulars